Improved Depth Map Estimation from Stereo Images based on Hybrid Method
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Date
2012-04
Authors
Kamencay, Patrik
Breznan, Martin
Jarina, Roman
Lukac, Peter
Zachariasova, Martina
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
In this paper, a stereo matching algorithm based on image segments is presented. We propose the hybrid segmentation algorithm that is based on a combination of the Belief Propagation and Mean Shift algorithms with aim to refine the disparity and depth map by using a stereo pair of images. This algorithm utilizes image filtering and modified SAD (Sum of Absolute Differences) stereo matching method. Firstly, a color based segmentation method is applied for segmenting the left image of the input stereo pair (reference image) into regions. The aim of the segmentation is to simplify representation of the image into the form that is easier to analyze and is able to locate objects in images. Secondly, results of the segmentation are used as an input of the local window-based matching method to determine the disparity estimate of each image pixel. The obtained experimental results demonstrate that the final depth map can be obtained by application of segment disparities to the original images. Experimental results with the stereo testing images show that our proposed Hybrid algorithm HSAD gives a good performance.
Description
Citation
Radioengineering. 2012, vol. 21, č. 1, s. 70-78. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2012/12_01_0070_0078.pdf
http://www.radioeng.cz/fulltexts/2012/12_01_0070_0078.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en